Bibliographic record
Abstract
In the Prophetic era dots and symbols were not put on Arabic phrases. Symbols are not even today are being put on Arabic books in Arab countries. Dots and symbols have been put on Qur’ānic verses in too late centuries. The Qur’ānic codices prepared in the ear of Hazrat Usmān were without dots and symbols, as the sample of Qur’ānic in the age of Prophet Muhammad (PBUH) was without dots and symbols. Even after the Ḥazrat Usmān people recite and listen Quran through these codices. Arabs were the experienced persons of the language and learn recitation from master reciters. So, they did not feel any difficulty in this regards. They do not commit any mistake. The Holy letter of Muhammad (PBUH) is present in real form these days, which He has written to the emperor of Egypt 'Maqooqash' which was stamped. A copy of this letter in Sīra books has been presented. It shows no dots and symbols. Similarly, the codices of Quran prepared in the ear of Hazrat Usmān are present in the world without dots and symbols. A copy of this 'Mushaf' is present in the museum of Masjid-e-Nabvī which is also dot less and symbol less.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.984 | 0.988 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".